Search Results - "Geraldeli Rossi, Rafael"

Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network by Rossi, Rafael Geraldeli, de Andrade Lopes, Alneu, de Paulo Faleiros, Thiago, Rezende, Solange Oliveira

“…Algorithms for numeric data classification have been applied for text classification. Usually the vector space model is used to represent text collections. The…”
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A graph-based approach for positive and unlabeled learning by Carnevali, Julio César, Geraldeli Rossi, Rafael, Milios, Evangelos, de Andrade Lopes, Alneu

“…•Proposal of a graph-based method for Positive and Unlabeled Learning that uses graph-based strategies in all steps.•Effectively use of unlabeled documents to…”
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Learning to sense from events via semantic variational autoencoder by Gôlo, Marcos Paulo Silva, Rossi, Rafael Geraldeli, Marcacini, Ricardo Marcondes

“…In this paper, we introduce the concept of learning to sense, which aims to emulate a complex characteristic of human reasoning: the ability to monitor and…”
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Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs by de Paulo Faleiros, Thiago, Geraldeli Rossi, Rafael, de Andrade Lopes, Alneu

“…•Scalable algorithm based on bipartite graphs to perform transduction learning.•Label propagation procedure that uses class information associated with…”
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Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization by Geraldeli Rossi, Rafael, Andrade Lopes, Alneu de, Oliveira Rezende, Solange

“…Due to the volume of texts available in digital form, the organization, management and knowledge extraction are laborious and frequently impossible to be…”
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Cross-domain aspect extraction for sentiment analysis: A transductive learning approach by Marcacini, Ricardo Marcondes, Rossi, Rafael Geraldeli, Matsuno, Ivone Penque, Rezende, Solange Oliveira

“…Aspect-Based Sentiment Analysis (ABSA) is a promising approach to analyze consumer reviews at a high level of detail, where the opinion about each feature of…”
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A network-based positive and unlabeled learning approach for fake news detection by de Souza, Mariana Caravanti, Nogueira, Bruno Magalhães, Rossi, Rafael Geraldeli, Marcacini, Ricardo Marcondes, dos Santos, Brucce Neves, Rezende, Solange Oliveira

“…Fake news can rapidly spread through internet users and can deceive a large audience. Due to those characteristics, they can have a direct impact on political…”
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A two-stage regularization framework for heterogeneous event networks by dos Santos, Brucce Neves, Rossi, Rafael Geraldeli, Rezende, Solange Oliveira, Marcacini, Ricardo Marcondes

“…•Event analysis from news is a promising task to understand complex social phenomena.•Heterogeneous networks represent events by combining text, time and…”
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One-class learning for fake news detection through multimodal variational autoencoders by Gôlo, Marcos Paulo Silva, de Souza, Mariana Caravanti, Rossi, Rafael Geraldeli, Rezende, Solange Oliveira, Nogueira, Bruno Magalhães, Marcacini, Ricardo Marcondes

“…Machine learning methods to detect fake news typically use textual features and Binary or Multi-class classification. However, accurately labeling a large news…”
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Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts by Rossi, Rafael Geraldeli, Lopes, Alneu de Andrade, Rezende, Solange Oliveira

“…•Scalable algorithm based on bipartite networks to perform transduction.•Unlabeled data effectively employed to improve classification performance.•Better…”
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Text representations for lyric-based identification of musical subgenres by Almeida do Carmo, Fabricio, Figueira da Silva Junior, Jorge Luiz, Geraldeli Rossi, Rafael, Franca Lobato, Fabio Manoel

“…The advancement of techniques and computational tools for data mining has been boosting the music market with applications focused on user experience. These…”
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Inductive Model Generation for Text Categorization Using a Bipartite Heterogeneous Network by Rossi, R. G., de Paulo Faleiros, T., de Andrade Lopes, A., Rezende, S. O.

“…Usually, algorithms for categorization of numeric data have been applied for text categorization after a preprocessing phase which assigns weights for textual…”
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